US5787199A - Apparatus for detecting a foreground region for use in a low bit-rate image signal encoder - Google Patents

Apparatus for detecting a foreground region for use in a low bit-rate image signal encoder Download PDF

Info

Publication number
US5787199A
US5787199A US08/580,235 US58023595A US5787199A US 5787199 A US5787199 A US 5787199A US 58023595 A US58023595 A US 58023595A US 5787199 A US5787199 A US 5787199A
Authority
US
United States
Prior art keywords
region
pixel
current frame
detecting
pixels
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
US08/580,235
Other languages
English (en)
Inventor
Min-Sup Lee
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
WiniaDaewoo Co Ltd
Original Assignee
Daewoo Electronics Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Daewoo Electronics Co Ltd filed Critical Daewoo Electronics Co Ltd
Assigned to DAEWOO ELECTRONICS, CO., LTD. reassignment DAEWOO ELECTRONICS, CO., LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: LEE, MIN-SUP
Application granted granted Critical
Publication of US5787199A publication Critical patent/US5787199A/en
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/169Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/254Analysis of motion involving subtraction of images
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51Motion estimation or motion compensation

Definitions

  • the present invention relates to a low bit-rate image signal encoder; and, more particularly, to an apparatus for detecting a foreground region included in an image signal.
  • a large amount of digital data is needed to define each video frame signal since a video line signal in the video frame signal comprises a sequence of digital data referred to as pixel values. Since, however, the available frequency bandwidth of a conventional transmission channel is limited, in order to transmit the substantial amount of digital data therethrough, it is inevitable to compress or reduce the volume of data through the use of various data compression techniques, especially in the case of such low bit-rate image signal encoders as those used in video-telephone and teleconference systems.
  • an input video image is first divided into two parts: i.e., a foreground region having moving objects; and a background region which contains no moving objects. Then, the foreground region is divided according to the moving objects; and, three sets of parameters for defining the motion, contour and pixel data of each object are processed through different encoding channels.
  • a change detector is employed to determine changed and unchanged parts of two successive frames by calculating the difference between a current frame and a previous frame on a pixel-by-pixel basis, and the whole of the changed parts is designated as a foreground region and the unchanged parts as the background region.
  • the foreground region detected by the change detector will not always coincide with the whole region taken up by the moving objects. Therefore, the input video image cannot be divided exactly into the foreground and the background regions, tending to deteriorate the performance of the low bit-rate image signal encoder.
  • an apparatus for use in a low bit-rate image signal encoder, for detecting a foreground region in an image signal, wherein the image signal has a number of objects therein and the foreground region has at least one moving object therein, which comprises:
  • a previous frame memory for storing a previous frame of the image signal
  • a current frame memory for storing a current frame of the image signal
  • a change detector for comparing the current frame and the previous frame to detect changed pixels, each changed pixel having a differential luminance value
  • a region detector for detecting an object region occupied by one of the objects in the current frame
  • a foreground/background determinator for counting the number of pixels contained in the object region to determine a first size of the object region; and for counting the number of changed pixels which are located in the object region to determine a second size of the object region; and for comparing the first size with the second size to determine whether the object region is the foreground or the background region.
  • FIG. 1 shows a schematic block diagram illustrating a foreground region detecting apparatus in accordance with the present invention
  • FIG. 2 shows a detailed block diagram of the foreground/background determinator of FIG. 1;
  • FIG. 3 represents two overlapped exemplary regions for describing the foreground/background determinator of FIG. 1.
  • the foreground region detecting apparatus includes a current frame memory 100, a previous frame memory 102, a region detector 104, a change detector 106, a region storage 108 and a foreground/background determinator 110.
  • the current frame memory 100 serves to receive an image signal from a known image source in order to store a current frame.
  • the current frame includes a foreground region having moving objects and a background region having no moving object.
  • the current frame is provided to the previous frame memory 102 and is applied via line L2 to the region detector 104 and the change detector 106.
  • a previous frame of the image signal is stored.
  • the previous frame is provided to the change detector 106.
  • the region detector 104 detects a region occupied by one of the objects in the current frame retrieved from the current frame memory 100.
  • the region is detected as follows: first, a contour of an object in the current frame is detected through the use of a known edge detection technique employing a known edge detection operator, e.g., a sobel operator. Then, the contour is processed to provide region information for defining the region of the object.
  • the region information is applied via L6 to the a region storage 108 wherein each region for each of the moving objects is stored therein.
  • the region information from the region storage 108 is applied to the foreground/background determinator 110 via line L8.
  • the change detector 106 compares the current frame retrieved from the current frame memory 100 with the previous frame from the previous frame memory 102 to detect a changed area in the current frame.
  • the changed area is determined as follows: an absolute value of a difference between a luminance value for each of the pixels of the current frame and that for its corresponding pixel in the previous frame is computed; and then the absolute value is compared with a first threshold value Th1. If the absolute value is larger than or equal to Th1, it implies that there is a change of luminance value and thus a given pixel is included in the changed area. Otherwise, the given pixel is included in the unchanged area.
  • a changed area signal representing the detected changed area is sent via line L10 to the foreground/background determinator 110.
  • the foreground/background determinator 110 in response to the region information from the region storage 108 and the changed area signal from the change detector 106, the number of changed pixels located in a region is counted to determine whether the region is changed or not. If more than a predetermined portion of pixels in a given region are changed pixels, the region will be included in the foreground region. Details of the foreground/background determinator 110 are described with reference to FIG. 2.
  • the changed area signal received via line L10 from the change detector 106 is stored at a changed area storage 202.
  • the region information from the region storage 108 is applied to a region extraction block 203.
  • the region extraction block 203 serially extracts all of the pixels stored in the region storage 108, supplies a pixel position signal representing the position of an extracted pixel via line L22 to the changed area storage 202 and also provides switches 204 and 208 with a switching control signal representing which region the extracted pixel belongs to.
  • the changed area storage 202 responds to the pixel position signal from the region extraction block 203 by generating "0" representing an unchanged area, or "1" representing a changed area.
  • the first switch 204 responds to the switching control signal from the region extraction block 203 by supplying its input, i.e., "0" or "1", to a changed size determinator 206.
  • the changed size determinator 206 has a number of counters, wherein each of the counters counts the number of 1's in its input to determine the size of a changed portion, i.e., the number of changed pixels in the region. The determined size of the changed portion is sent to a ratio calculation block 212.
  • the second switch 208 responds to the switching control signal by supplying its input, i.e., logic high signal "1", to a region size determinator 210.
  • the region size determinator 210 has a number of counters, wherein each of the counters counts the number of 1's in its input to determine the size of a region, i.e., a total number of pixels in the region.
  • the determined size of the region is sent to the ratio calculation block 212.
  • the ratio calculation block 212 has a number of dividers and each of the dividers calculates the ratio of the size of the changed portion to the size of the region. For example, in case of the two regions Rn(t) of a current frame and Rn(t-1) of a previous frame are shown overlapped in FIG. 3, the ratio of the size of the changed portion to the size of the region is the ratio of the hatched area A to the size of the region Rn(t).
  • Each ratio computed by the dividers of the ratio calculation block 212 is provided through a multiplexer 214 to serially apply each ratio to a comparator 216 wherein each ratio is compared with a second threshold value Th2 to determine whether the ratio is larger than Th2. If the ratio is larger than Th2, the corresponding region is classified as a foreground region, otherwise, the region is classified as a background region.
  • the comparison result is provided via line L12 to the region storage 108 wherein the region classified as foreground region is produced.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)
  • Image Analysis (AREA)
  • Studio Circuits (AREA)
  • Television Signal Processing For Recording (AREA)
US08/580,235 1994-12-29 1995-12-28 Apparatus for detecting a foreground region for use in a low bit-rate image signal encoder Expired - Fee Related US5787199A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
KR1019940038604A KR100235344B1 (ko) 1994-12-29 1994-12-29 영역 분할 부호화 방식의 전경/배경 화상 선택 장치
KR94-38604 1994-12-29

Publications (1)

Publication Number Publication Date
US5787199A true US5787199A (en) 1998-07-28

Family

ID=19404829

Family Applications (1)

Application Number Title Priority Date Filing Date
US08/580,235 Expired - Fee Related US5787199A (en) 1994-12-29 1995-12-28 Apparatus for detecting a foreground region for use in a low bit-rate image signal encoder

Country Status (4)

Country Link
US (1) US5787199A (ko)
JP (1) JPH08242449A (ko)
KR (1) KR100235344B1 (ko)
CN (1) CN1130848A (ko)

Cited By (33)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5920406A (en) * 1997-06-13 1999-07-06 Hewlett-Packard Co. Margin seeking for multiple copy jobs
US6005683A (en) * 1997-12-05 1999-12-21 Hewlett-Packard Company Document edge detection by linear image sensor
US6285791B1 (en) * 1996-12-09 2001-09-04 Telecom Finland Oy Transmission method for video or moving pictures by compressing block differences
US6307981B1 (en) * 1996-12-06 2001-10-23 Minolta Co., Ltd. Image forming device
US20020024599A1 (en) * 2000-08-17 2002-02-28 Yoshio Fukuhara Moving object tracking apparatus
US6366316B1 (en) * 1996-08-30 2002-04-02 Eastman Kodak Company Electronic imaging system for generating a composite image using the difference of two images
US20030059087A1 (en) * 2001-08-07 2003-03-27 Sick Ag Monitoring method and an optoelectronic sensor
US20040005084A1 (en) * 2001-06-26 2004-01-08 Tetsujiro Kondo Image processing apparatus and method, and image-capturing apparatus
US20040028287A1 (en) * 2001-02-19 2004-02-12 Tetsujiro Kondo Image processing device
US20040081335A1 (en) * 2001-06-20 2004-04-29 Tetsujiro Kondo Image processing device and method, and imager
US20050152579A1 (en) * 2003-11-18 2005-07-14 Samsung Electronics Co., Ltd. Person detecting apparatus and method and privacy protection system employing the same
US20050163346A1 (en) * 2003-12-03 2005-07-28 Safehouse International Limited Monitoring an output from a camera
US6987545B1 (en) * 1998-03-26 2006-01-17 Micron Technology, Inc. Apparatus for assisting video compression in a computer system
US20060039579A1 (en) * 2002-07-03 2006-02-23 Gerd Mossakowski Method for coding and decoding digital data stored or transmitted according to the pixels method for transmitting prioritised pixels
US20060126947A1 (en) * 2002-07-08 2006-06-15 Gerd Mossakowski Method for the transmission of additional information when using a method for compressing data by means of prioritizing pixel transmission
WO2006103594A2 (en) * 2005-04-01 2006-10-05 Koninklijke Philips Electronics N.V. A method, a system and a computer program for segmenting a structure in a dataset
US7136525B1 (en) * 1999-09-20 2006-11-14 Microsoft Corporation System and method for background maintenance of an image sequence
US20070013809A1 (en) * 1998-03-26 2007-01-18 Klein Dean A Method for assisting video compression in a computer system
US20070177818A1 (en) * 2006-01-27 2007-08-02 Casio Computer Co., Ltd. Image-capturing apparatus, image processing method and program product
US20080211908A1 (en) * 2005-05-16 2008-09-04 Human Monitoring Ltd Monitoring Method and Device
US20090257084A1 (en) * 2008-04-15 2009-10-15 Konica Minolta Business Technologies, Inc. Image Processing Method, Computer Readable Recording Medium Stored With Image Processing Program, And Image Processing Apparatus
EP2207137A1 (en) * 2007-09-28 2010-07-14 Hitachi Software Engineering Co., Ltd. Motionlessness deciding method and device for photograph object
US20130194243A1 (en) * 2012-01-27 2013-08-01 Pan-Wook Um Display drive integrated circuit
US20140219582A1 (en) * 2013-02-01 2014-08-07 Htc Corporation Image composition apparatus and method
US9082199B1 (en) * 2005-07-14 2015-07-14 Altera Corporation Video processing architecture
US20150310296A1 (en) * 2014-04-23 2015-10-29 Kabushiki Kaisha Toshiba Foreground region extraction device
US9245187B1 (en) * 2014-07-07 2016-01-26 Geo Semiconductor Inc. System and method for robust motion detection
EP3068135A1 (en) * 2015-03-10 2016-09-14 Hangzhou Hikvision Digital Technology Co., Ltd. Systems and methods for hybrid video encoding
US10769799B2 (en) 2018-08-24 2020-09-08 Ford Global Technologies, Llc Foreground detection
US11460851B2 (en) 2019-05-24 2022-10-04 Ford Global Technologies, Llc Eccentricity image fusion
US11521494B2 (en) 2019-06-11 2022-12-06 Ford Global Technologies, Llc Vehicle eccentricity mapping
US11662741B2 (en) 2019-06-28 2023-05-30 Ford Global Technologies, Llc Vehicle visual odometry
US11783707B2 (en) 2018-10-09 2023-10-10 Ford Global Technologies, Llc Vehicle path planning

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4224748B2 (ja) * 1999-09-13 2009-02-18 ソニー株式会社 画像符号化装置および画像符号化方法、画像復号装置および画像復号方法、記録媒体、並びに画像処理装置
KR100614694B1 (ko) * 1999-12-24 2006-08-21 비오이 하이디스 테크놀로지 주식회사 색온도 자동 조절 회로
KR100391266B1 (ko) * 2001-02-16 2003-07-12 주식회사 이스턴정보통신 객체기반 영상 압축을 위한 배경설정방법
CN100420299C (zh) * 2004-12-24 2008-09-17 北京中星微电子有限公司 一种屏幕广播方法
CN100362849C (zh) * 2005-01-17 2008-01-16 深圳创维-Rgb电子有限公司 电视图像动态景深提升方法
KR100813936B1 (ko) * 2006-04-14 2008-03-14 텔미정보통신 주식회사 동영상의 동적 피사체 추출 및 영상합성 서비스 방법
KR100711204B1 (ko) * 2006-06-26 2007-04-24 한국전자통신연구원 선택적 에러 은닉 장치 및 방법
KR101271692B1 (ko) * 2009-09-16 2013-06-04 후지쯔 가부시끼가이샤 동화상 재생 장치, 동화상 재생 프로그램, 및 동화상 재생 방법

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5150432A (en) * 1990-03-26 1992-09-22 Kabushiki Kaisha Toshiba Apparatus for encoding/decoding video signals to improve quality of a specific region
US5237410A (en) * 1990-11-28 1993-08-17 Matsushita Electric Industrial Co., Ltd. Video signal encoding apparatus utilizing control of quantization step size for improved picture quality
US5247590A (en) * 1989-10-11 1993-09-21 Mitsubishi Denki Kabushiki Kaisha Signal encoding and decoding system
US5373567A (en) * 1992-01-13 1994-12-13 Nikon Corporation Method and apparatus for pattern matching
US5467086A (en) * 1992-06-18 1995-11-14 Samsung Electronics Co., Ltd. Apparatus and method of coding/decoding video data
US5490225A (en) * 1990-01-29 1996-02-06 Ezel Inc. Method and system for comparing two images by making an initial rough judgement
US5546129A (en) * 1995-04-29 1996-08-13 Daewoo Electronics Co., Ltd. Method for encoding a video signal using feature point based motion estimation
US5596362A (en) * 1994-04-06 1997-01-21 Lucent Technologies Inc. Low bit rate audio-visual communication having improved face and lip region detection
US5612743A (en) * 1995-04-29 1997-03-18 Daewoo Electronics Co. Ltd. Method for encoding a video signal using feature point based motion estimation
US5615287A (en) * 1994-12-02 1997-03-25 The Regents Of The University Of California Image compression technique

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5247590A (en) * 1989-10-11 1993-09-21 Mitsubishi Denki Kabushiki Kaisha Signal encoding and decoding system
US5490225A (en) * 1990-01-29 1996-02-06 Ezel Inc. Method and system for comparing two images by making an initial rough judgement
US5150432A (en) * 1990-03-26 1992-09-22 Kabushiki Kaisha Toshiba Apparatus for encoding/decoding video signals to improve quality of a specific region
US5237410A (en) * 1990-11-28 1993-08-17 Matsushita Electric Industrial Co., Ltd. Video signal encoding apparatus utilizing control of quantization step size for improved picture quality
US5373567A (en) * 1992-01-13 1994-12-13 Nikon Corporation Method and apparatus for pattern matching
US5467086A (en) * 1992-06-18 1995-11-14 Samsung Electronics Co., Ltd. Apparatus and method of coding/decoding video data
US5596362A (en) * 1994-04-06 1997-01-21 Lucent Technologies Inc. Low bit rate audio-visual communication having improved face and lip region detection
US5615287A (en) * 1994-12-02 1997-03-25 The Regents Of The University Of California Image compression technique
US5546129A (en) * 1995-04-29 1996-08-13 Daewoo Electronics Co., Ltd. Method for encoding a video signal using feature point based motion estimation
US5612743A (en) * 1995-04-29 1997-03-18 Daewoo Electronics Co. Ltd. Method for encoding a video signal using feature point based motion estimation

Cited By (57)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6366316B1 (en) * 1996-08-30 2002-04-02 Eastman Kodak Company Electronic imaging system for generating a composite image using the difference of two images
US6307981B1 (en) * 1996-12-06 2001-10-23 Minolta Co., Ltd. Image forming device
US6285791B1 (en) * 1996-12-09 2001-09-04 Telecom Finland Oy Transmission method for video or moving pictures by compressing block differences
US5920406A (en) * 1997-06-13 1999-07-06 Hewlett-Packard Co. Margin seeking for multiple copy jobs
US6005683A (en) * 1997-12-05 1999-12-21 Hewlett-Packard Company Document edge detection by linear image sensor
US20100020247A1 (en) * 1998-03-26 2010-01-28 Micron Technology, Inc. Method for assisting video compression in a computer system
US6987545B1 (en) * 1998-03-26 2006-01-17 Micron Technology, Inc. Apparatus for assisting video compression in a computer system
US7280162B2 (en) 1998-03-26 2007-10-09 Micron Technology, Inc. Apparatus for assisting video compression in a computer system
US20070013809A1 (en) * 1998-03-26 2007-01-18 Klein Dean A Method for assisting video compression in a computer system
US7595844B2 (en) 1998-03-26 2009-09-29 Micron Technology, Inc. Method for assisting video compression in a computer system
US7298425B2 (en) * 1998-03-26 2007-11-20 Micron Technology, Inc. Method for assisting video compression in a computer system
US7136525B1 (en) * 1999-09-20 2006-11-14 Microsoft Corporation System and method for background maintenance of an image sequence
US20020024599A1 (en) * 2000-08-17 2002-02-28 Yoshio Fukuhara Moving object tracking apparatus
US7130464B2 (en) * 2001-02-19 2006-10-31 Sony Corporation Image processing device
US20040028287A1 (en) * 2001-02-19 2004-02-12 Tetsujiro Kondo Image processing device
US7612909B2 (en) * 2001-06-20 2009-11-03 Sony Corporation Image processing apparatus and method, and image-capturing apparatus based on the difference between a signal detected by a sensor and the real world
US20040081335A1 (en) * 2001-06-20 2004-04-29 Tetsujiro Kondo Image processing device and method, and imager
US7340106B2 (en) * 2001-06-26 2008-03-04 Sony Corporation Image processing apparatus and method, and image-capturing apparatus
US20040005084A1 (en) * 2001-06-26 2004-01-08 Tetsujiro Kondo Image processing apparatus and method, and image-capturing apparatus
US7012539B2 (en) * 2001-08-07 2006-03-14 Sick Ag Monitoring method and an optoelectronic sensor
US20030059087A1 (en) * 2001-08-07 2003-03-27 Sick Ag Monitoring method and an optoelectronic sensor
US20060039579A1 (en) * 2002-07-03 2006-02-23 Gerd Mossakowski Method for coding and decoding digital data stored or transmitted according to the pixels method for transmitting prioritised pixels
US7444023B2 (en) * 2002-07-03 2008-10-28 T-Mobile Deutschland Gmbh Method for coding and decoding digital data stored or transmitted according to the pixels method for transmitting prioritised pixels
US7583843B2 (en) * 2002-07-08 2009-09-01 T-Mobile Deutschland Gmbh Method for the transmission of additional information when using a method for compressing data by means of prioritizing pixel transmission
US20060126947A1 (en) * 2002-07-08 2006-06-15 Gerd Mossakowski Method for the transmission of additional information when using a method for compressing data by means of prioritizing pixel transmission
US20100183227A1 (en) * 2003-11-18 2010-07-22 Samsung Electronics Co., Ltd. Person detecting apparatus and method and privacy protection system employing the same
US20050152579A1 (en) * 2003-11-18 2005-07-14 Samsung Electronics Co., Ltd. Person detecting apparatus and method and privacy protection system employing the same
US7664292B2 (en) * 2003-12-03 2010-02-16 Safehouse International, Inc. Monitoring an output from a camera
US20050163346A1 (en) * 2003-12-03 2005-07-28 Safehouse International Limited Monitoring an output from a camera
WO2006103594A2 (en) * 2005-04-01 2006-10-05 Koninklijke Philips Electronics N.V. A method, a system and a computer program for segmenting a structure in a dataset
US20090010505A1 (en) * 2005-04-01 2009-01-08 Koninklijke Philips Electronics N. V. Method, a System and a Computer Program for Segmenting a Structure in a Dataset
WO2006103594A3 (en) * 2005-04-01 2007-01-11 Koninkl Philips Electronics Nv A method, a system and a computer program for segmenting a structure in a dataset
US8320652B2 (en) 2005-04-01 2012-11-27 Koninklijke Philips Electronics N.V. Method, a system and a computer program for segmenting a structure in a Dataset
US20080211908A1 (en) * 2005-05-16 2008-09-04 Human Monitoring Ltd Monitoring Method and Device
US9082199B1 (en) * 2005-07-14 2015-07-14 Altera Corporation Video processing architecture
US8249382B2 (en) * 2006-01-27 2012-08-21 Casio Computer Co., Ltd. Image-capturing apparatus, image processing method and program product
US20070177818A1 (en) * 2006-01-27 2007-08-02 Casio Computer Co., Ltd. Image-capturing apparatus, image processing method and program product
EP2207137A1 (en) * 2007-09-28 2010-07-14 Hitachi Software Engineering Co., Ltd. Motionlessness deciding method and device for photograph object
US20100246975A1 (en) * 2007-09-28 2010-09-30 Hitachi Software Engineering Co., Ltd. Method and apparatus for determining if imaging object is still
EP2207137A4 (en) * 2007-09-28 2012-03-07 Hitachi Software Eng MOTION-FREE DECISION-MAKING PROCESS AND DEVICE FOR A PHOTO OBJECT
US20090257084A1 (en) * 2008-04-15 2009-10-15 Konica Minolta Business Technologies, Inc. Image Processing Method, Computer Readable Recording Medium Stored With Image Processing Program, And Image Processing Apparatus
US20130194243A1 (en) * 2012-01-27 2013-08-01 Pan-Wook Um Display drive integrated circuit
US9202445B2 (en) * 2012-01-27 2015-12-01 Samsung Electronics Co., Ltd. Display drive integrated circuit
US20140219582A1 (en) * 2013-02-01 2014-08-07 Htc Corporation Image composition apparatus and method
US9380213B2 (en) * 2013-02-01 2016-06-28 Htc Corporation Image composition apparatus and method
US20150310296A1 (en) * 2014-04-23 2015-10-29 Kabushiki Kaisha Toshiba Foreground region extraction device
US9245187B1 (en) * 2014-07-07 2016-01-26 Geo Semiconductor Inc. System and method for robust motion detection
US9390333B2 (en) * 2014-07-07 2016-07-12 Geo Semiconductor Inc. System and method for robust motion detection
EP3068135A1 (en) * 2015-03-10 2016-09-14 Hangzhou Hikvision Digital Technology Co., Ltd. Systems and methods for hybrid video encoding
US20160269734A1 (en) * 2015-03-10 2016-09-15 Hangzhou Hikvision Digital Technology Co., Ltd. Systems and Methods for Hybrid Video Encoding
US10187649B2 (en) * 2015-03-10 2019-01-22 Hangzhou Hiksvision Digital Technology Co., Ltd. Systems and methods for hybrid video encoding
US10863185B2 (en) * 2015-03-10 2020-12-08 Hangzhou Hikvision Digital Technology Co., Ltd. Systems and methods for hybrid video encoding
US10769799B2 (en) 2018-08-24 2020-09-08 Ford Global Technologies, Llc Foreground detection
US11783707B2 (en) 2018-10-09 2023-10-10 Ford Global Technologies, Llc Vehicle path planning
US11460851B2 (en) 2019-05-24 2022-10-04 Ford Global Technologies, Llc Eccentricity image fusion
US11521494B2 (en) 2019-06-11 2022-12-06 Ford Global Technologies, Llc Vehicle eccentricity mapping
US11662741B2 (en) 2019-06-28 2023-05-30 Ford Global Technologies, Llc Vehicle visual odometry

Also Published As

Publication number Publication date
JPH08242449A (ja) 1996-09-17
KR960028480A (ko) 1996-07-22
CN1130848A (zh) 1996-09-11
KR100235344B1 (ko) 1999-12-15

Similar Documents

Publication Publication Date Title
US5787199A (en) Apparatus for detecting a foreground region for use in a low bit-rate image signal encoder
EP0720377B1 (en) Method for detecting motion vectors for use in a segmentation-based coding system
US5751378A (en) Scene change detector for digital video
US5900919A (en) Efficient shot change detection on compressed video data
US5650828A (en) Method and apparatus for detecting and thinning a contour image of objects
US7085401B2 (en) Automatic object extraction
US5387947A (en) Motion vector detecting method of a video signal
US5710829A (en) System and method for focused-based image segmentation for video signals
KR20000049031A (ko) 3차원 깊이 정보를 이용한 디지털 이미지와 비디오 세그먼테이션과 압축을 수행하기 위한 방법 및 장치
US5805221A (en) Video signal coding system employing segmentation technique
US5596370A (en) Boundary matching motion estimation apparatus
US5623310A (en) Apparatus for encoding a video signal employing a hierarchical image segmentation technique
US20110129012A1 (en) Video Data Compression
US5706366A (en) Apparatus for encoding an image signal having a still object using an image warping technique
US6011588A (en) Method and apparatus for coding a contour of an object employing temporal correlation thereof
KR19980036073A (ko) 움직임 벡터 검출 방법 및 장치
JP2971724B2 (ja) 動画像のカット点検出装置
GB2325582A (en) Encoding contour of an object in a video signal
KR100209413B1 (ko) 블럭-기반 비디오 신호 부호화 시스템에 이용하기 위한그리드 결정방법
Doulamis et al. Efficient unsupervised content-based segmentation in stereoscopic video sequences
CA2173888C (en) System and method for focused-based image segmentation for video signals
WO2003067868A2 (en) Unit for and method of segmentation
GB2329784A (en) Encoding a motion vector
de Sequeira et al. Knowledge-based videotelephone sequence segmentation
JP3799842B2 (ja) 静的映像検出方法、及び装置

Legal Events

Date Code Title Description
FEPP Fee payment procedure

Free format text: PAYOR NUMBER ASSIGNED (ORIGINAL EVENT CODE: ASPN); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

REMI Maintenance fee reminder mailed
LAPS Lapse for failure to pay maintenance fees
LAPS Lapse for failure to pay maintenance fees

Free format text: PATENT EXPIRED FOR FAILURE TO PAY MAINTENANCE FEES (ORIGINAL EVENT CODE: EXP.); ENTITY STATUS OF PATENT OWNER: LARGE ENTITY

STCH Information on status: patent discontinuation

Free format text: PATENT EXPIRED DUE TO NONPAYMENT OF MAINTENANCE FEES UNDER 37 CFR 1.362

FP Lapsed due to failure to pay maintenance fee

Effective date: 20020728